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Natural Language Processing (NLP) Jobs in Bangalore (Bengaluru)

50+ Natural Language Processing (NLP) Jobs in Bangalore (Bengaluru) | Natural Language Processing (NLP) Job openings in Bangalore (Bengaluru)

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Sahaj AI Software

at Sahaj AI Software

1 video
6 recruiters
Pooja  Mandlekar
Posted by Pooja Mandlekar
Bengaluru (Bangalore), Chennai, Pune
7 - 30 yrs
Best in industry
skill iconMachine Learning (ML)
Operations research
Applied mathematics
Applied Statist
Data mining
+2 more

Job Description

Data scientist with a strong background in data mining, machine learning, recommendation systems, and statistics. Should possess signature strengths of a qualified mathematician with ability to apply concepts of Mathematics, Applied Statistics, with specialisation in one or more of NLP, Computer Vision, Speech, Data mining to develop models that provide effective solution.A strong data engineering background with hands-on coding capabilities is needed to own and deliver outcomes.

A Master’s or PhD Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience, 7+ years of industry experience in predictive modelling, data science and analysis, with prior experience in a ML or data scientist role and a track record of building ML or DL models.

Responsibilities and skills:

  • Work with our customers to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organisation.
  • Selecting features, building and optimising classifiers using ML techniques.
  • Data mining using state-of-the-art methods, create text mining pipelines to clean & process large unstructured datasets to reveal high quality information and hidden insights using machine learning techniques.
  • Should be able to appreciate and work on:

Computer Vision problems – for example extract rich information from images to categorise and process visual data— Develop machine learning algorithms for object and image classification, Experience in using DBScan, PCA, Random Forests and Multinomial Logistic Regression to select the best features to classify objects.

OR

Deep understanding of NLP such as fundamentals of information retrieval, deep learning approaches, transformers, attention models, text summarisation, attribute extraction, etc. Preferable experience in one or more of the following areas: recommender systems, moderation of user generated content, sentiment analysis, etc.

OR

Experience of having worked in these areas : speech recognition, speech to text and vice versa, understanding NLP and IR, text summarisation, statistical and deep learning approaches to text processing.

  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Needs to appreciate deep learning frameworks like MXNet, Caffe 2, Keras, Tensorflow.
  • Experience in working with GPUs to develop models, handling terabyte size datasets.
  • Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, mlr, mllib, Scikit-learn, caret etc - excellence in at least one of these is highly desirable.
  • Should be able to work hands-on in Python, R etc. Should closely collaborate & work with engineering teams to iteratively analyse data using Scala, Spark, Hadoop, Kafka, Storm etc.
  • Experience with NoSQL databases and familiarity with data visualisation tools will be of great advantage.


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Digit88

at Digit88

2 recruiters
khushboo mishra
Posted by khushboo mishra
Bengaluru (Bangalore)
6 - 10 yrs
₹45L - ₹60L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

About Digit88 


Digit88 empowers digital transformation for innovative and high growth B2B and B2C SaaS companies as their trusted offshore software product engineering partner! 


We are a lean mid-stage software company, with a team of 75+ fantastic technologists, backed by executives with deep understanding of and extensive experience in consumer and enterprise product development across large corporations and startups. We build highly efficient and effective engineering teams that solve real and complex problems for our partners. 


With more than 50+ years of collective experience in areas ranging from B2B and B2C SaaS, web and mobile apps, e-commerce platforms and solutions, custom enterprise SaaS platforms and domains spread across Conversational AI, Chatbots, IoT, Health-tech, ESG/Energy Analytics, Data Engineering, the founding team thrives in a fast paced and challenging environment that allows us to showcase our best. 


The Vision: To be the most trusted technology partner to innovative software product companies world-wide


The Opportunity: 


As the Data Science Lead, you will own and drive the company's data initiatives, managing a team of data scientists, and ensuring the

As a Data Scientist II, you will be part of the Product Risk Operations team that owns the development of AI-powered technology that helps our clients make communities safer and more resilient. Our technology helps our customers in reducing carbon emissions, reducing infrastructure risk and avoiding fatalities, a fact that we pride ourselves in.


As a part of the Risk Operations team, you will be working on a wide range of activities related to end-to-end Machine Learning (ML) deployments, research and development of ML product features to support internal and external stakeholders.  This is a great role for someone who enjoys variety and is also looking to expand their skill set in a structured fashion.


What You’ll Do


  • Become a subject matter expert on products, including understanding how AI can be used in the utilities industry to enable our clients desired outcomes.
  • Work closely with cross-functional teams to identify opportunities, design experiments and deploy repeatable and scalable machine learning solutions that drive business impact.
  • Lead design of experiments and hypothesis tests related to machine learning product features development. 
  • Lead design, implementation, and deployment of machine learning models to support existing as well as new customers.
  • Communicate findings and recommendations to both technical and non-technical stakeholders through clear visual presentations.
  • Monitor and analyze machine learning model performance and data accuracy.
  • Mentor junior staff members.
  • Stay current with best practices in data science, machine learning and AI.


Who You Are


  • 3-5 years of experience building and deploying machine learning models
  • Master’s or PHD in statistics, mathematics, computer science or another quantitative field
  • Strong problem solving skills with emphasis on product development.
  • Well versed in programming languages such as R or Python with experience using libraries such as pandas, scikit-learn, tensor flow .
  • Experience with SQL and relational databases for data extraction and manipulation.
  • Experience using a variety of Machine Learning techniques for Predictive Modeling, Classification, Natural Language Processing (including Large Language Models), Content Recommendation Systems, Time Series Techniques 
  • Passionate about being up-to-date with the latest developments in Machine Learning 
  • Strong organizational, time management, and communication skills
  • High degree of accountability
  • Utility, Infrastructure or Energy related field experience is a plus



Benefits/Culture @ Digit88: 


  • Comprehensive Insurance (Life, Health, Accident) 
  • Flexible Work Model 
  • Accelerated learning & non-linear growth 
  • Flat organisation structure driven by ownership and accountability. 
  • Opportunity to own and be a part of some of the most innovative and promising AI/SaaS product companies in North America and around the world. 
  • Accomplished Global Peers - Working with some of the best engineers/professionals globally from the likes of Apple, Amazon, IBM Research, Adobe and other innovative product companies 
  • Ability to make a global impact with your work, leading innovations in Conversational AI, Energy/Utilities, ESG, HealthTech, IoT, PLM and more. 


You will work with a founding team of serial entrepreneurs with multiple successful exits to their credit. The learning will be immense just as will the challenges. 


This is the right time to join us and partner in our growth!

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A Customer Data Platform-led personalization and real-time marketing automation solution that delivers superior customer experiences resulting in increased conversions, retention, and growth for enterprises.

A Customer Data Platform-led personalization and real-time marketing automation solution that delivers superior customer experiences resulting in increased conversions, retention, and growth for enterprises.

Agency job
via HyrHub by Shwetha Naik
Bengaluru (Bangalore)
6 - 12 yrs
₹25L - ₹35L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
skill iconDeep Learning
+4 more


• 6+ years of data science experience.

• Demonstrated experience in leading programs.

• Prior experience in customer data platforms/finance domain is a plus.

• Demonstrated ability in developing and deploying data-driven products.

• Experience of working with large datasets and developing scalable algorithms.

• Hands-on experience of working with tech, product, and operation teams.


Technical Skills:

• Deep understanding and hands-on experience of Machine learning and Deep

learning algorithms. Good understanding of NLP and LLM concepts and fair

experience in developing NLU and NLG solutions.

• Experience with Keras/TensorFlow/PyTorch deep learning frameworks.

• Proficient in scripting languages (Python/Shell), SQL.

• Good knowledge of Statistics.

• Experience with big data, cloud, and MLOps.

Soft Skills:

• Strong analytical and problem-solving skills.

• Excellent presentation and communication skills.

• Ability to work independently and deal with ambiguity.

Continuous Learning:

• Stay up to date with emerging technologies.


Qualification.


A degree in Computer Science, Statistics, Applied Mathematics, Machine Learning, or any related field / B. Tech.



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the world’s first real-time marketing automation built on an Intelligent and Secure Customer Data Platform orchestrating 1-to-1 personalization and cross-channel customer journeys at scale that increases conversion, retention, & growth for enterprises

the world’s first real-time marketing automation built on an Intelligent and Secure Customer Data Platform orchestrating 1-to-1 personalization and cross-channel customer journeys at scale that increases conversion, retention, & growth for enterprises

Agency job
via HyrHub by Neha Koshy
Bengaluru (Bangalore)
6 - 12 yrs
₹25L - ₹35L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
skill iconDeep Learning
+4 more

Experience Required:

  • 6+ years of data science experience.
  • Demonstrated experience in leading programs.
  • Prior experience in customer data platforms/finance domain is a plus.
  • Demonstrated ability in developing and deploying data-driven products.
  • Experience of working with large datasets and developing scalable algorithms.
  • Hands-on experience of working with tech, product, and operation teams.


Key Responsibilities:

Technical Skills:

  • Deep understanding and hands-on experience of Machine learning and Deep learning algorithms. Good understanding of NLP and LLM concepts and fair experience in developing NLU and NLG solutions.
  • Experience with Keras/TensorFlow/PyTorch deep learning frameworks.
  • Proficient in scripting languages (Python/Shell), SQL.
  • Good knowledge of Statistics.
  • Experience with big data, cloud, and MLOps.

Soft Skills:

  • Strong analytical and problem-solving skills.
  • Excellent presentation and communication skills.
  • Ability to work independently and deal with ambiguity.

Continuous Learning:

  • Stay up to date with emerging technologies.


Qualifications:

A degree in Computer Science, Statistics, Applied Mathematics, Machine Learning, or any related field / B. Tech.

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Remote only
8 - 12 yrs
₹15L - ₹30L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
+5 more

Join Our Team

● We are seeking a highly skilled and experienced Senior Python Developer to join our dynamic team.

● The ideal candidate will be an expert in developing applications and chatbots utilizing OpenAI and LangChain technologies.

● This role requires proficiency in working with vector stores, interfacing with databases (especially PostgreSQL), and integrating website content and documents (including PDFs) seamlessly into websites.

● The successful candidate will play a pivotal role in driving our AI initiatives, enhancing our digital interfaces, and ensuring a seamless user experience. Key Responsibilities:

● Design and develop advanced applications and chatbots using OpenAI, LangChain, and related technologies.

● Implement and maintain vector stores to optimize AI model performance and data retrieval.

● Interface with PostgreSQL databases, ensuring efficient data storage, retrieval, and management.Integrate dynamic website content and documents (e.g., PDFs) into web applications, enhancing functionality and user experience.Collaborate with cross-functional teams (UI/UX designers, web developers, project managers) to deliver high-quality software solutions.

● Lead the technical design, development, and deployment of AI-powered features, ensuring scalability and reliability.

● Stay abreast of emerging technologies and industry trends to incorporate best practices and innovations into our projects.

● Provide technical mentorship to junior developers and contribute to the team's knowledge-sharing efforts.

Qualifications:

● Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

● At least 10+ years of professional experience in Python development, with a strong portfolio of projects demonstrating expertise in AI and chatbot development.

● Proficiency in OpenAI and LangChain technologies is essential.

● Experience with vector stores (e.g., Pinecone, Weaviate) and their integration into AI applications.

● Solid understanding of database management, particularly PostgreSQL, including schema design, query optimization, and connection pooling.

● Demonstrated ability to integrate website content and documents (PDFs) into web applications.

● Familiarity with web development frameworks (e.g., Django, Flask) and front-end technologies (JavaScript, HTML5, CSS) is a plus.Excellent problem-solving skills, with a creative and analytical approach to overcoming challenges.

● Strong communication and collaboration abilities, with a track record of working effectively in team environments. 

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Tier #1 MNC

Tier #1 MNC

Agency job
via People First Consultants by Aishwarya KA
Chennai, Bengaluru (Bangalore), Pune, Hyderabad, Delhi, Gurugram, Noida, Ghaziabad, Faridabad, Mumbai, Coimbatore, Kochi (Cochin)
4 - 10 yrs
Best in industry
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
skill iconDeep Learning

Job Description:

 

1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c.Estimate business impact due to deployment of model


2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge


3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines


4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch 


5.Experience in using Deep learning models with text, speech, image and video data

a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c.Knowledge of State of the art Deep learning algorithms


6.Optimize and tune Deep Learnings model for best possible accuracy


7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau


8.Work with application teams, in deploying models on cloud as a service or on-prem

a.Deployment of models in Test / Control framework for tracking

b.Build CI/CD pipelines for ML model deployment


9.Integrating AI&ML models with other applications using REST APIs and other connector technologies


10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

 

 

· Technology/Subject Matter Expertise

  • Sufficient expertise in machine learning, mathematical and statistical sciences
  • Use of versioning & Collaborative tools like Git / Github
  • Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
  • Develop prototype level ideas into a solution that can scale to industrial grade strength
  • Ability to quantify & estimate the impact of ML models.

 

· Softskills Profile

  • Curiosity to think in fresh and unique ways with the intent of breaking new ground.
  • Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
  • Ability to think ahead, and anticipate the needs for solving the problem will be important

·        Ability to communicate key messages effectively, and articulate strong opinions in large forums

 

 

· Desirable Experience:

  • Keen contributor to open source communities, and communities like Kaggle
  • Ability to process Huge amount of Data using Pyspark/Hadoop
  • Development & Application of Reinforcement Learning
  • Knowledge of Optimization/Genetic Algorithms
  • Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
  • Optimize and tune deep learning model for best possible accuracy
  • Understanding of stream data processing, RPA, edge computing, AR/VR etc
  • Appreciation of digital ethics, data privacy will be important
  • Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
  • Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus
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Tiger Analytics
Bengaluru (Bangalore), Chennai, Hyderabad
2 - 5 yrs
₹2L - ₹10L / yr
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

Job brief

We are looking for a Lead Data Scientist to lead a technical team and help us gain

useful insight out of raw data.


Lead Data Scientist responsibilities include managing the data science team, planning

projects and building analytics models. You should have a strong problem-solving ability

and a knack for statistical analysis. If you’re also able to align our data products with our

business goals, we’d like to meet you.


Your ultimate goal will be to help improve our products and business decisions by

making the most out of our data.


Responsibilities

● Conceive, plan and prioritize data projects

● Ensure data quality and integrity

● Interpret and analyze data problems

● Build analytic systems and predictive models

● Align data projects with organizational goals

● Lead data mining and collection procedures

● Test performance of data-driven products

● Visualize data and create reports

● Build and manage a team of data scientists and data engineers


Requirements

● Proven experience as a Data Scientist or similar role

● Solid understanding of machine learning

● Knowledge of data management and visualization techniques

● A knack for statistical analysis and predictive modeling

● Good knowledge of R, Python and MATLAB

● Experience with SQL and NoSQL databases

● Strong organizational and leadership skills

● Excellent communication skills

● A business mindset

● Degree in Computer Science, Data Science, Mathematics or similar field


● Familiar with emerging/cutting edge, open source, data science/machine learning

libraries/big data platforms

Read more
Prismforce

at Prismforce

1 recruiter
Shivali Kaul
Posted by Shivali Kaul
Bengaluru (Bangalore), Pune, Mumbai, Kolkata
3 - 6 yrs
₹20L - ₹50L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

Responsibilities:

  • Identify relevant data sources - a combination of data sources to make it useful.
  • Build the automation of the collection processes.
  • Pre-processing of structured and unstructured data.
  • Handle large amounts of information to create the input to analytical Models.
  • Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
  • Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
  • Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.
  • Participate in Problem solving sessions

Requirements:

  • Bachelor's degree in a highly quantitative field (e.g. Computer Science , Engineering , Physics , Math , Operations Research , etc) or equivalent experience.
  • Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods , reinforcement learning , deep learning , Bayesian inference , Network graphs , Natural Language Processing Analytical mind and business acumen
  • Strong math skills (e.g. statistics , algebra)
  • Problem-solving aptitude Excellent communication skills with ability to communicate technical information.
  • Fluency with at least one data science/analytics programming language (e.g. Python , R , Julia).
  • Start-up experience is a plus Ideally 5-8 years of advanced analytics experience in startups/marquee com

Required Skills:

Machine Learning, Deep Learning, Algorithms, Computer Science, Engineering, Operations Research, Math Skills, Communication Skills, SAAS Product, IT Services, Artificial Intelligence, ERP, Product Management, Automation, Analytical Models, Predictive Models, NLP, Forecasting Models, Product Development, Leadership, Problem Solving, Unsupervised Learning, Reinforcement Learning, Natural Language Processing, Algebra, Data Science, Programming Language, Python, Julia

Read more
Prismforce

at Prismforce

1 recruiter
Jyoti Moily
Posted by Jyoti Moily
Bengaluru (Bangalore)
5 - 8 yrs
₹20L - ₹25L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

Prismforce (www.prismforce.com) is a US Head quartered vertical SAAS product company , with development teams in India. We are Series-A funded venture , backed by Tier 1 VC and targeted towards tech/IT services industry and tech talent organizations in enterprises, solving their most critical sector specific problems in Talent Supply Chain. The product suite is powered by artificial intelligence designed to accelerate business impact e.g. improved profitability and agility , by digitizing core vertical workflows underserved by custom applications and typical ERP offerings.


We are looking for Data Scientists to build data products to be the core of SAAS company disrupting the Skill market.In this role you should be highly analytical with a keen understanding of Data, Machine Learning, Deep Learning, Analysis, Algorithms, Products, Maths, and Statistics. The hands-on individual would be playing multiple roles of being a Data Scientist , Data Engineer , Data Analysts , Efficient Coder and above all Problem Solver.

Location: Mumbai / Bangalore / Pune / Kolkata

Responsibilities:

  • Identify relevant data sources - a combination of data sources to make it useful.
  • Build the automation of the collection processes.
  • Pre-processing of structured and unstructured data.
  • Handle large amounts of information to create the input to analytical Models.
  • Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
  • Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
  • Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.
  • Participate in Problem solving sessions

Requirements:

  • Bachelor's degree in a highly quantitative field (e.g. Computer Science , Engineering , Physics , Math , Operations Research , etc) or equivalent experience.
  • Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods , reinforcement learning , deep learning , Bayesian inference , Network graphs , Natural Language Processing Analytical mind and business acumen
  • Strong math skills (e.g. statistics , algebra)
  • Problem-solving aptitude Excellent communication skills with ability to communicate technical information.
  • Fluency with at least one data science/analytics programming language (e.g. Python , R , Julia).
  • Start-up experience is a plus Ideally 5-8 years of advanced analytics experience in startups/marquee com


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Zevo software labs pvt ltd
Bengaluru (Bangalore)
3 - 8 yrs
Best in industry
skill iconPython
skill iconMachine Learning (ML)
Cloud Computing
Natural Language Processing (NLP)
TensorFlow
+5 more

Are you passionate about pushing the boundaries of Artificial Intelligence and its applications in the software development lifecycle? Are you excited about building AI models that can revolutionize how developers ship, refactor, and onboard to legacy or existing applications faster? If so, Zevo.ai has the perfect opportunity for you!


As an AI Researcher/Engineer at Zevo.ai, you will play a crucial role in developing cutting-edge AI models using CodeBERT and codexGLUE to achieve our goal of providing an AI solution that supports developers throughout the sprint cycle. You will be at the forefront of research and development, harnessing the power of Natural Language Processing (NLP) and Machine Learning (ML) to revolutionize the way software development is approached.


Responsibilities:


  1. AI Model Development: Design, implement, and refine AI models utilizing CodeBERT and codexGLUE to comprehend codebases, facilitate code understanding, automate code refactoring, and enhance the developer onboarding process.
  2. Research and Innovation: Stay up-to-date with the latest advancements in NLP and ML research, identifying novel techniques and methodologies that can be applied to Zevo.ai's AI solution. Conduct experiments, perform data analysis, and propose innovative approaches to enhance model performance.
  3. Data Collection and Preparation: Collaborate with data engineers to identify, collect, and preprocess relevant datasets necessary for training and evaluating AI models. Ensure data quality, correctness, and proper documentation.
  4. Model Evaluation and Optimization: Develop robust evaluation metrics to measure the performance of AI models accurately. Continuously optimize and fine-tune models to achieve state-of-the-art results.
  5. Code Integration and Deployment: Work closely with software developers to integrate AI models seamlessly into Zevo.ai's platform. Ensure smooth deployment and monitor the performance of the deployed models.
  6. Collaboration and Teamwork: Collaborate effectively with cross-functional teams, including data scientists, software engineers, and product managers, to align AI research efforts with overall company objectives.
  7. Documentation: Maintain detailed and clear documentation of research findings, methodologies, and model implementations to facilitate knowledge sharing and future developments.
  8. Ethics and Compliance**: Ensure compliance with ethical guidelines and legal requirements related to AI model development, data privacy, and security.



Requirements


  1. Educational Background: Bachelor's/Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A strong academic record with a focus on NLP and ML is highly desirable.
  2. Technical Expertise: Proficiency in NLP, Deep Learning, and experience with AI model development using frameworks like PyTorch or TensorFlow. Familiarity with CodeBERT and codexGLUE is a significant advantage.
  3. Programming Skills: Strong programming skills in Python and experience working with large-scale software projects.
  4. Research Experience: Proven track record of conducting research in NLP, ML, or related fields, demonstrated through publications, conference papers, or open-source contributions.
  5. Problem-Solving Abilities: Ability to identify and tackle complex problems related to AI model development and software engineering.
  6. Team Player: Excellent communication and interpersonal skills, with the ability to collaborate effectively in a team-oriented environment.
  7. Passion for AI: Demonstrated enthusiasm for AI and its potential to transform software development practices.


If you are eager to be at the forefront of AI research, driving innovation and impacting the software development industry, join Zevo.ai's talented team of experts as an AI Researcher/Engineer. Together, we'll shape the future of the sprint cycle and revolutionize how developers approach code understanding, refactoring, and onboarding!

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CK-12 Foundation

at CK-12 Foundation

1 video
7 recruiters
Amit Gupta
Posted by Amit Gupta
Bengaluru (Bangalore)
3 - 6 yrs
Best in industry
PyTorch
Natural Language Processing (NLP)
skill iconMachine Learning (ML)
Scikit-Learn
Large Language Model
+2 more

We are seeking a talented and motivated AI Verification Engineer to join our team. The ideal candidate will be responsible for the validation of our AI and Machine Learning systems, ensuring that they meet all necessary quality assurance requirements and work reliably and optimally in real-world scenarios. The role requires strong analytical skills, a good understanding of AI and ML technologies, and a dedication to achieving excellence in the production of state-of-the-art systems.


Key Responsibilities:

  1. Develop and execute validation strategies and test plans for AI and ML systems, during development and on production environments.
  2. Work closely with AI/ML engineers and data scientists in understanding system requirements and capabilities and coming up with key metrics for system efficacy.
  3. Evaluate the system performance under various operating conditions, data variety, and scenarios.
  4. Perform functional, stress, system, and other testing types to ensure our systems' reliability and robustness.
  5. Create automated test procedures and systems for regular verification and validation processes, and detect any abnormal anomalies in usage.
  6. Report and track defects, providing detailed information to facilitate problem resolution.
  7. Lead the continuous review and improvement of validation and testing methodologies, procedures, and tools.
  8. Provide detailed reports and documentation on system performance, issues, and validation results.


Required Skills & Qualifications:

  1. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  2. Proven experience in the testing and validation of AI/ML systems or equivalent complex systems.
  3. Good knowledge and understanding of AI and ML concepts, tools, and frameworks.
  4. Proficient in scripting and programming languages such as Python, shell scripts etc.
  5. Experience with AI/ML platforms and libraries such as TensorFlow, PyTorch, Keras, or Scikit-Learn.
  6. Excellent problem-solving abilities and attention to detail.
  7. Strong communication skills, with the ability to document and explain complex technical concepts clearly.
  8. Ability to work in a fast-paced, collaborative environment.


Preferred Skills & Qualifications:

  1.  A good understanding of various large language models, image models, and their comparative strengths and weaknesses.
  2. Knowledge of CI/CD pipelines and experience with tools such as Jenkins, Git, Docker.
  3. Experience with cloud platforms like AWS, Google Cloud, or Azure.
  4. Understanding of Data Analysis and Visualization tools and techniques.



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globe teleservices
deepshikha thapar
Posted by deepshikha thapar
Bengaluru (Bangalore)
4 - 7 yrs
₹4L - ₹10L / yr
skill iconMachine Learning (ML)
skill iconData Science
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

Requirement understanding and elicitation, analysis, data/workflows, contribution to product

projects and Proof of concept (POC)

 Contribute to preparing design documents and effort estimations.

 Develop AI/ML Models using best-in-class ML models.

 Building, testing, and deploying AI/ML solutions.

 Work with Business Analysts and Product Managers to assist with defining functional user

stories.

 Ensure deliverables across teams are of high quality and documented. 

 Recommend best ML practices/Industry standards for any ML use case.

 Proactively take up R and D and recommend solution options for any ML use case.

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Expand My Business
Bengaluru (Bangalore)
5 - 10 yrs
₹12L - ₹28L / yr
skill iconMachine Learning (ML)
skill iconData Science
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

Requirements

Experience:

  • 5-8 years of working experience in ML/Data science preferably from remote sensing background.
  • Experience in leading a team of both data scientist and machine learning engineers to solve challenging problems preferably in the Infrastructure and Utilities domain using geospatial & remote sensing data.
  • Statistical knowledge along with great proficiency in python
  • Strong understanding and implementation experience of predictive modeling algorithms such as regressions, time series, neural networks, clustering, decision trees and heuristic models, with familiarity dealing with tradeoffs between model performance and business needs
  • Experience combining user research and data science methodologies across multiple products within the business unit.
  • Must have delivered multiple data science product(s) in production.

Minimum qualification:

  • Advanced degree (MSc/PhD) in Computer Science, Economics, Engineering, Operations Research, Physics or Mathematics/Statistics preferred.

Competencies:

  • Fantastic communication skills that enable you to work cross-functionally with business folks, product managers, technical experts, building solid relationships with a diverse set of stakeholders.
  • The ability to convey complex solutions to a less technical person.
  • Vast analytical problem-solving capabilities & experience.
  • Bias for action.
Read more
Bengaluru (Bangalore)
5 - 9 yrs
₹10L - ₹18L / yr
skill iconMachine Learning (ML)
skill iconData Science
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
+10 more

Requirements

Experience

  • 5+ years of professional experience in implementing MLOps framework to scale up ML in production.
  • Hands-on experience with Kubernetes, Kubeflow, MLflow, Sagemaker, and other ML model experiment management tools including training, inference, and evaluation.
  • Experience in ML model serving (TorchServe, TensorFlow Serving, NVIDIA Triton inference server, etc.)
  • Proficiency with ML model training frameworks (PyTorch, Pytorch Lightning, Tensorflow, etc.).
  • Experience with GPU computing to do data and model training parallelism.
  • Solid software engineering skills in developing systems for production.
  • Strong expertise in Python.
  • Building end-to-end data systems as an ML Engineer, Platform Engineer, or equivalent.
  • Experience working with cloud data processing technologies (S3, ECR, Lambda, AWS, Spark, Dask, ElasticSearch, Presto, SQL, etc.).
  • Having Geospatial / Remote sensing experience is a plus.
Read more
JK Technosoft Ltd
Nishu Gupta
Posted by Nishu Gupta
Bengaluru (Bangalore)
3 - 5 yrs
₹5L - ₹15L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
+13 more

Roles and Responsibilities:

  • Design, develop, and maintain the end-to-end MLOps infrastructure from the ground up, leveraging open-source systems across the entire MLOps landscape.
  • Creating pipelines for data ingestion, data transformation, building, testing, and deploying machine learning models, as well as monitoring and maintaining the performance of these models in production.
  • Managing the MLOps stack, including version control systems, continuous integration and deployment tools, containerization, orchestration, and monitoring systems.
  • Ensure that the MLOps stack is scalable, reliable, and secure.

Skills Required:

  • 3-6 years of MLOps experience
  • Preferably worked in the startup ecosystem

Primary Skills:

  • Experience with E2E MLOps systems like ClearML, Kubeflow, MLFlow etc.
  • Technical expertise in MLOps: Should have a deep understanding of the MLOps landscape and be able to leverage open-source systems to build scalable, reliable, and secure MLOps infrastructure.
  • Programming skills: Proficient in at least one programming language, such as Python, and have experience with data science libraries, such as TensorFlow, PyTorch, or Scikit-learn.
  • DevOps experience: Should have experience with DevOps tools and practices, such as Git, Docker, Kubernetes, and Jenkins.

Secondary Skills:

  • Version Control Systems (VCS) tools like Git and Subversion
  • Containerization technologies like Docker and Kubernetes
  • Cloud Platforms like AWS, Azure, and Google Cloud Platform
  • Data Preparation and Management tools like Apache Spark, Apache Hadoop, and SQL databases like PostgreSQL and MySQL
  • Machine Learning Frameworks like TensorFlow, PyTorch, and Scikit-learn
  • Monitoring and Logging tools like Prometheus, Grafana, and Elasticsearch
  • Continuous Integration and Continuous Deployment (CI/CD) tools like Jenkins, GitLab CI, and CircleCI
  • Explain ability and Interpretability tools like LIME and SHAP


Read more
MindTickle

at MindTickle

1 video
11 recruiters
Shama Afroj
Posted by Shama Afroj
Pune, Bengaluru (Bangalore)
6 - 10 yrs
₹30L - ₹65L / yr
skill iconMachine Learning (ML)
skill iconData Science
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
+6 more

About Us


Mindtickle provides a comprehensive, data-driven solution for sales readiness and enablement that fuels revenue growth and brand value for dozens of Fortune 500 and Global 2000 companies and hundreds of the world’s most recognized companies across technology, life sciences, financial services, manufacturing, and service sectors.


With purpose-built applications, proven methodologies, and best practices designed to drive effective sales onboarding and ongoing readiness, mindtickle enables company leaders and sellers to continually assess, diagnose and develop the knowledge, skills, and behaviors required to engage customers and drive growth effectively. We are funded by great investors, like – Softbank, Canaan partners, NEA, Accel Partners, and others.



Job Brief


We are looking for a rockstar researcher at the Center of Excellence for Machine Learning. You are responsible for thinking outside the box, crafting new algorithms, developing end-to-end artificial intelligence-based solutions, and rightly selecting the most appropriate architecture for the system(s), such that it suits the business needs, and achieves the desired results under given constraints.


Credibility:

  • You must have a proven track record in research and development with adequate publication/patenting and/or academic credentials in data science.
  • You have the ability to directly connect business problems to research problems along with the latest emerging technologies.


Strategic Responsibility:

  • To perform the following: understanding problem statements, connecting the dots between high-level business statements and deep technology algorithms, crafting new systems and methods in the space of structured data mining, natural language processing, computer vision, speech technologies, robotics or Internet of things etc. 
  • To be responsible for end-to-end production level coding with data science and machine learning algorithms, unit and integration testing, deployment, optimization and fine-tuning of models on cloud, desktop, mobile or edge etc.
  • To learn in a continuous mode, upgrade and upskill along with publishing novel articles in journals and conference proceedings and/or filing patents, and be involved in evangelism activities and ecosystem development etc.
  • To share knowledge, mentor colleagues, partners, and customers, take sessions on artificial intelligence topics both online or in-person, participate in workshops, conferences, seminars/webinars as a speaker, instructor, demonstrator or jury member etc.
  • To design and develop high-volume, low-latency applications for mission-critical systems and deliver high availability and performance.
  • To collaborate within the product streams and team to bring best practices and leverage world-class tech stack.
  • To set up every essentials (tracking / alerting) to make sure the infrastructure / software built is working as expected.
  • To search, collect and clean Data for analysis and setting up efficient storage and retrieval pipelines.


Personality:

  • Requires excellent communication skills – written, verbal, and presentation.
  • You should be a team player.
  • You should be positive towards problem-solving and have a very structured thought process to solve problems.
  • You should be agile enough to learn new technology if needed.


Qualifications:

  • B Tech / BS / BE / M Tech / MS / ME in CS or equivalent from Tier I / II or Top Tier Engineering Colleges and Universities.
  • 6+ years of strong software (application or infrastructure) development experience and software engineering skills (Python, R, C, C++ / Java / Scala / Golang).
  • Deep expertise and practical knowledge of operating systems, MySQL and NoSQL databases(Redis/couchbase/mongodb/ES or any graphDB).
  • Good understanding of Machine Learning Algorithms, Linear Algebra and Statistics.
  • Working knowledge of Amazon Web Services(AWS).
  • Experience with Docker and Kubernetes will be a plus.
  • Experience with Natural Language Processing, Recommendation Systems, or Search Engines.


Our Culture


As an organization, it’s our priority to create a highly engaging and rewarding workplace. We offer tons of awesome perks, great learning opportunities & growth.


Our culture reflects the globally diverse backgrounds of our employees along with our commitment to our customers, each other, and a passion for excellence.


To know more about us, feel free to go through these videos:

1. Sales Readiness Explained: https://www.youtube.com/watch?v=XyMJj9AlNww&;t=6s

2. What We Do: https://www.youtube.com/watch?v=jv3Q2XgnkBY

3. Ready to Close More Deals, Faster: https://www.youtube.com/watch?v=nB0exreVU-s


To view more videos, please access the below-mentioned link:

https://www.youtube.com/c/mindtickle/videos



Mindtickle is proud to be an Equal Opportunity Employer


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.


Your Right to Work - In compliance with applicable laws, all persons hired will be required to verify identity and eligibility to work in the respective work locations and to complete the required employment eligibility verification document form upon hire.

Read more
Diagnokare Technologies
Bengaluru (Bangalore)
1 - 2 yrs
₹8.5L - ₹9.5L / yr
skill iconReact.js
skill iconPython
Computer Vision
Natural Language Processing (NLP)
skill iconData Science
+1 more

We are a stealth startup focusing on AI in healthcare and are looking for software engineers to join our PoC (Proof of Concept) team. You will be a core member of the company with equity options. If you are ambitious, excited about next-generation tech and have a constant hunger to learn, we encourage you to apply.


Your responsibilities:

  • Design and develop full-stack web applications for PoC.
  • Implement computer vision and NLP based deep learning models.
  • Participate in client meetings and refine product capabilities.


Essential requirements:

  • Interested in working at startups.
  • Ability to work independently.
  • Experienced in developing full-stack web applications.
  • Strong command over React and Python.
  • Good experience with Data Science.
  • Comfortable with ambiguity and frequent changes to project scope in innovation environment.


Read more
Thena
Ankit Saxena
Posted by Ankit Saxena
Bengaluru (Bangalore)
2 - 4 yrs
₹15L - ₹24L / yr
skill iconData Science
skill iconMachine Learning (ML)
skill iconDeep Learning
ML Ops
Natural Language Processing (NLP)
+2 more

We at Thena are looking for a Machine Learning Engineer with 2-4 years of industry experience to join our team. The ideal candidate will be passionate about developing and deploying ML models that drive business value and have a strong background in ML Ops.


Responsibilities:


  • Develop, fine-tune, and deploy ML models for B2B customer communication and collaboration use cases.
  • Collaborate with cross-functional teams to define requirements, design models, and deploy them in production.
  • Optimize model performance and accuracy through experimentation, iteration, and testing.
  • Build and maintain ML infrastructure and tools to support model development and deployment.
  • Stay up-to-date with the latest research and best practices in ML, and share knowledge with the team.

Qualifications:

  • 2-4 years of industry experience in machine learning engineering, with a focus on natural language processing (NLP) and text classification models.
  • Experience with ML Ops, including deploying and managing ML models in production environments.
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with Embeddings and building on top of LLMs.
  • Strong problem-solving and analytical skills, with the ability to develop creative solutions to complex problems.
  • Strong communication skills, with the ability to collaborate effectively with cross-functional teams.
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.


Read more
Cubera Tech India Pvt Ltd
Surabhi Koushik
Posted by Surabhi Koushik
Bengaluru (Bangalore)
2 - 3 yrs
₹24L - ₹35L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
SQL
+6 more

Data Scientist

 

Cubera is a data company revolutionizing big data analytics and Adtech through data share value principles wherein the users entrust their data to us. We refine the art of understanding, processing, extracting, and evaluating the data that is entrusted to us. We are a gateway for brands to increase their lead efficiency as the world moves towards web3.

 

What you’ll do?

 

  • Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
  • Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation, and serving.
  • Research new and innovative machine learning approaches.
  • Perform hands-on analysis and modeling of enormous data sets to develop insights that increase Ad Traffic and Campaign Efficacy.
  • Collaborate with other data scientists, data engineers, product managers, and business stakeholders to build well-crafted, pragmatic data products.  
  • Actively take on new projects and constantly try to improve the existing models and infrastructure necessary for offline and online experimentation and iteration.
  • Work with your team on ambiguous problem areas in existing or new ML initiatives

What are we looking for?

  • Ability to write a SQL query to pull the data you need.
  • Fluency in Python and familiarity with its scientific stack such as numpy, pandas, scikit learn, matplotlib.
  • Experience in Tensorflow and/or R Modelling and/or PyTorch
  • Ability to understand a business problem and translate, and structure it into a data science problem. 

 

Job Category: Data Science

Job Type: Full Time

Job Location: Bangalore

 

Read more
Tredence
Sharon Joseph
Posted by Sharon Joseph
Bengaluru (Bangalore), Gurugram, Chennai, Pune
7 - 10 yrs
Best in industry
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
skill iconPython
+1 more

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

  1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
  2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
  3. Participate and lead executive presentations with client leadership stakeholders.
  4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
  5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

  1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
  2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
  3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
  4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
  5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
  6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
  7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
  8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
  9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

 

Qualification & Experience

  1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
  2. 6-10+ years of experience in data science, building hands-on ML models
  3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
  4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
  5. Knowledge of programming languages SQL, Python/ R, Spark.
  6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
  7. Experience with cloud computing services (AWS, GCP or Azure)
  8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
  9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
  10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
  11. Knowledge in GPU code optimization, Spark MLlib Optimization.
  12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
  13. Experience with ML CI/CD pipelines.
Read more
Tredence
Suchismita Das
Posted by Suchismita Das
Bengaluru (Bangalore), Gurugram, Chennai, Pune
8 - 10 yrs
Best in industry
skill iconMachine Learning (ML)
skill iconData Science
Natural Language Processing (NLP)
skill iconR Programming
SQL
+1 more

THE IDEAL CANDIDATE WILL

 

  • Engage with executive level stakeholders from client's team to translate business problems to high level solution approach
  • Partner closely with practice, and technical teams to craft well-structured comprehensive proposals/ RFP responses clearly highlighting Tredence’s competitive strengths relevant to Client's selection criteria
  • Actively explore the client’s business and formulate solution ideas that can improve process efficiency and cut cost, or achieve growth/revenue/profitability targets faster
  • Work hands-on across various MLOps problems and provide thought leadership
  • Grow and manage large teams with diverse skillsets
  • Collaborate, coach, and learn with a growing team of experienced Machine Learning Engineers and Data Scientists

 

 

 

ELIGIBILITY CRITERIA

 

  • BE/BTech/MTech (Specialization/courses in ML/DS)
  • At-least 7+ years of Consulting services delivery experience
  • Very strong problem-solving skills & work ethics
  • Possesses strong analytical/logical thinking, storyboarding and executive communication skills
  • 5+ years of experience in Python/R, SQL
  • 5+ years of experience in NLP algorithms, Regression & Classification Modelling, Time Series Forecasting
  • Hands on work experience in DevOps
  • Should have good knowledge in different deployment type like PaaS, SaaS, IaaS
  • Exposure on cloud technologies like Azure, AWS or GCP
  • Knowledge in python and packages for data analysis (scikit-learn, scipy, numpy, pandas, matplotlib).
  • Knowledge of Deep Learning frameworks: Keras, Tensorflow, PyTorch, etc
  • Experience with one or more Container-ecosystem (Docker, Kubernetes)
  • Experience in building orchestration pipeline to convert plain python models into a deployable API/RESTful endpoint.
  • Good understanding of OOP & Data Structures concepts

 

 

Nice to Have:

 

  • Exposure to deployment strategies like: Blue/Green, Canary, AB Testing, Multi-arm Bandit
  • Experience in Helm is a plus
  • Strong understanding of data infrastructure, data warehouse, or data engineering

 

You can expect to –

  • Work with world’ biggest retailers and help them solve some of their most critical problems. Tredence is a preferred analytics vendor for some of the largest Retailers across the globe
  • Create multi-million Dollar business opportunities by leveraging impact mindset, cutting edge solutions and industry best practices.
  • Work in a diverse environment that keeps evolving
  • Hone your entrepreneurial skills as you contribute to growth of the organization

 

 

Read more
css corp

css corp

Agency job
via staff hire solutions by Purvaja Patidar
Bengaluru (Bangalore)
1 - 3 yrs
₹10L - ₹11L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
+9 more
Design and implement cloud solutions, build MLOps on cloud (GCP) Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools; Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality. Data science models testing, validation and test automation. Communicate with a team of data scientists, data engineers and architects, and document the processes. Required Qualifications: Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (GCP) Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift. Programming languages like Python, Go, Ruby or Bash, a good understanding of Linux, and knowledge of frameworks such as sci-kit-learn, Keras, PyTorch, Tensorflow, etc. Ability to understand tools used by data scientists and experience with software development and test automation. Fluent in English, good communication skills and ability to work in a team. Desired Qualifications: Bachelor’s degree in Computer Science or Software Engineering Experience in using GCP services. Good to have Google Cloud Certification
Read more
Tredence
Bengaluru (Bangalore), Chennai, Gurugram, Pune
5 - 8 yrs
₹20L - ₹28L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
Roles and Responsibilities:
As an Associate Manager - Senior Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve
predefined outcomes.

• Engage with clients to understand current and future business goals and translate business
problems into analytical frameworks
• Develop custom models based on an in-depth understanding of underlying data, data structures,
and business problems to ensure deliverables meet client needs
• Create repeatable, interpretable and scalable models
• Effectively communicate the analytics approach and insights to a larger business audience
• Collaborate with team members, peers and leadership at Tredence and client companies

Qualification:
1. Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics,
statistics) or equivalent experience.
2. 5+ years of experience in data science, building hands-on ML models
3. Experience leading the end-to-end design, development, and deployment of predictive
modeling solutions.
4. Excellent programming skills in Python. Strong working knowledge of Python’s numerical, data
analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc.
5. Advanced SQL skills with SQL Server and Spark experience.
6. Knowledge of predictive/prescriptive analytics including Machine Learning algorithms
(Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks
7. Experience with Natural Language Processing (NLTK) and text analytics for information
extraction, parsing and topic modeling.
8. Excellent verbal and written communication. Strong troubleshooting and problem-solving skills.
Thrive in a fast-paced, innovative environment
9. Experience with data visualization tools — PowerBI, Tableau, R Shiny, etc. preferred
10. Experience with cloud platforms such as Azure, AWS is preferred but not required
Read more
Gnani.ai

at Gnani.ai

2 recruiters
Harish Kottur
Posted by Harish Kottur
Bengaluru (Bangalore)
2 - 5 yrs
₹5L - ₹12L / yr
skill iconPython
skill iconDjango
skill iconFlask
skill iconMongoDB
MySQL
+7 more

Job Category: Software Development

Job Type: Full Time

Job Location: Bangalore

 

Gnani.ai aims to empower enterprises with AI based speech technology.

 

Gnani.ai is an AI-based Speech Recognition and NLP Startup that is working on voice-based solutions for large businesses. AI is the biggest innovation that is disrupting the market and we are at the heart of this disruption. Funded by one of the largest global conglomerates in the world, and backed a number of market leaders in the tech industry,

 

We are working with some of the largest companies in the banking, insurance, e-commerce and financial services sectors and we are not slowing down. With aggressive expansion plans, Gnani.ai aims to be the leader in the global market for voice-based solutions.

 

Gnani.ai is building the future for voice-based business solutions. If you are fascinated by AI and would like to work on the latest AI technologies in a high-intense, fast-growing and flexible work environment with immense growth opportunities, come and join us. We are looking for hard workers, who are ready to take on big challenges.

 

NLP Software Developer

 

Gnani.ai is looking to hire software developers with 0 to 2+ Years of experience, with a keen interest in designing and developing chat and voice bots. We are looking for an Engineer who can work with us in developing an NLP framework if you have the below skill set

 

Requirements :

  • Proficient knowledge of Python
  • Proficient understanding of code versioning tools, such as Git / SVN.
  • Good knowledge of algorithms to find and implement tools for NLP tasks
  • Knowledge of NLP libraries and frameworks
  • Understanding of text representation techniques, algorithms, statistics
  • Syntactic & Semantic Parsing
  • Knowledge/work experience on No-SQL database Mongo.
  • Good knowledge of Docker container technologies.
  • Strong communication skills

 

Responsibilities :

  • Develop NLP systems according to requirements
  • Maintain NLP libraries and frameworks
  • Design and develop natural language processing systems
  • Define appropriate datasets for language learning
  • Use effective text representations to transform natural language into useful features
  • Train the developed model and run evaluation experiments
  • Find and implement the right algorithms and tools for NLP tasks
  • Perform statistical analysis of results and refine models
  • Constantly keep up to date with the field of machine learning
  • Implement changes as needed and analyze bugs

 

Good To Have :

Start up experience is a plus

 

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NeuranceAI Technologies Private Limited
Bengaluru (Bangalore)
2 - 5 yrs
₹4L - ₹12L / yr
Named-entity recognition
Long short-term memory (LSTM)
Natural Language Processing (NLP)
BERT
NLU
+5 more
𝐄𝐥𝐢𝐠𝐢𝐛𝐢𝐥𝐢𝐭𝐲 𝐂𝐫𝐢𝐭𝐞𝐫𝐢𝐚

2-5 yrs of proven experience in ML, DL, and preferably NLP.

Preferred Educational Background - B.E/B.Tech, M.S./M.Tech, Ph.D.


𝐖𝐡𝐚𝐭 𝐰𝐢𝐥𝐥 𝐲𝐨𝐮 𝐰𝐨𝐫𝐤 𝐨𝐧?
𝟏) Problem formulation and solution designing of ML/NLP applications across complex well-defined as well as open-ended healthcare problems.
2) Cutting-edge machine learning, data mining, and statistical techniques to analyse and utilise large-scale structured and unstructured clinical data.
3) End-to-end development of company proprietary AI engines - data collection, cleaning, data modelling, model training / testing, monitoring, and deployment.
4) Research and innovate novel ML algorithms and their applications suited to the problem at hand.


𝐖𝐡𝐚𝐭 𝐚𝐫𝐞 𝐰𝐞 𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫?
𝟏) Deeper understanding of business objectives and ability to formulate the problem as a Data Science problem.
𝟐) Solid expertise in knowledge graphs, graph neural nets, clustering, classification.
𝟑) Strong understanding of data normalization techniques, SVM, Random forest, data visualization techniques.
𝟒) Expertise in RNN, LSTM, and other neural network architectures.
𝟓) DL frameworks: Tensorflow, Pytorch, Keras
𝟔) High proficiency with standard database skills (e.g., SQL, MongoDB, Graph DB), data preparation, cleaning, and wrangling/munging.
𝟕) Comfortable with web scraping, extracting, manipulating, and analyzing complex, high-volume, high-dimensionality data from varying sources.
𝟖) Experience with deploying ML models on cloud platforms like AWS or Azure.
9) Familiarity with version control with GIT, BitBucket, SVN, or similar.


𝐖𝐡𝐲 𝐜𝐡𝐨𝐨𝐬𝐞 𝐮𝐬?
𝟏) We offer Competitive remuneration.
𝟐) We give opportunities to work on exciting and cutting-edge machine learning problems so you contribute towards transforming the healthcare industry.
𝟑) We offer flexibility to choose your tools, methods, and ways to collaborate.
𝟒) We always value and believe in new ideas and encourage creative thinking.
𝟓) We offer open culture where you will work closely with the founding team and have the chance to influence the product design and execution.
𝟔) And, of course, the thrill of being part of an early-stage startup, launching a product, and seeing it in the hands of the users.
Read more
Top Management Consulting Company

Top Management Consulting Company

Agency job
Bengaluru (Bangalore), Gurugram
2 - 8 yrs
₹10L - ₹35L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
skill iconPython
+11 more
Greetings!!

We are looking for a Machine Learning engineer for on of our premium client.
Experience: 2-9 years
Location: Gurgaon/Bangalore
Tech Stack:

Python, PySpark, the Python Scientific Stack; MLFlow, Grafana, Prometheus for machine learning pipeline management and monitoring; SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS; Django, GraphQL and ReactJS for horizontal product development; container technologies such as Docker and Kubernetes, CircleCI/Jenkins for CI/CD, cloud solutions such as AWS, GCP, and Azure as well as Terraform and Cloudformation for deployment
Read more
RandomTrees

at RandomTrees

1 recruiter
HariPrasad Jonnalagadda
Posted by HariPrasad Jonnalagadda
Remote, Hyderabad, Bengaluru (Bangalore)
9 - 20 yrs
₹10L - ₹15L / yr
Natural Language Processing (NLP)
skill iconData Science
skill iconMachine Learning (ML)
Computer Vision
recommendation algorithm

Expert in Machine Learning (ML) & Natural Language Processing (NLP).

Expert in Python, Pytorch and Data Structures.

Experience in ML model life cycle (Data preparation, Model training and Testing and ML Ops).

Strong experience in NLP, NLU and NLU using transformers & deep learning.

Experience in federated learning is a plus

Experience with knowledge graphs and ontology.

Responsible for developing, enhancing, modifying, optimizing and/or maintaining applications, pipelines and codebase in order to enhance the overall solution.

Experience working with scalable, highly-interactive, high-performance systems/projects (ML).

Design, code, test, debug and document programs as well as support activities for the corporate systems architecture.

Working closely with business partners in defining requirements for ML applications and advancements of solution.

Engage in specifications in creating comprehensive technical documents.

Experience / Knowledge in designing enterprise grade system architecture for solving complex problems with a sound understanding of object-oriented programming and Design Patterns.

Experience in Test Driven Development & Agile methodologies.

Good communication skills - client facing environment.

Hunger for learning, self-starter with a drive to technically mentor cohort of developers. 16. Good to have working experience in Knowledge Graph based ML products development; and AWS/GCP based ML services.

Read more
Cloudbloom Systems LLP

at Cloudbloom Systems LLP

5 recruiters
Sahil Rana
Posted by Sahil Rana
Bengaluru (Bangalore)
6 - 10 yrs
₹13L - ₹25L / yr
skill iconMachine Learning (ML)
skill iconPython
skill iconData Science
Natural Language Processing (NLP)
Computer Vision
+3 more
Description
Duties and Responsibilities:
 Research and Develop Innovative Use Cases, Solutions and Quantitative Models
 Quantitative Models in Video and Image Recognition and Signal Processing for cloudbloom’s
cross-industry business (e.g., Retail, Energy, Industry, Mobility, Smart Life and
Entertainment).
 Design, Implement and Demonstrate Proof-of-Concept and Working Proto-types
 Provide R&D support to productize research prototypes.
 Explore emerging tools, techniques, and technologies, and work with academia for cutting-
edge solutions.
 Collaborate with cross-functional teams and eco-system partners for mutual business benefit.
 Team Management Skills
Academic Qualification
 7+ years of professional hands-on work experience in data science, statistical modelling, data
engineering, and predictive analytics assignments
 Mandatory Requirements: Bachelor’s degree with STEM background (Science, Technology,
Engineering and Management) with strong quantitative flavour
 Innovative and creative in data analysis, problem solving and presentation of solutions.
 Ability to establish effective cross-functional partnerships and relationships at all levels in a
highly collaborative environment
 Strong experience in handling multi-national client engagements
 Good verbal, writing & presentation skills
Core Expertise
 Excellent understanding of basics in mathematics and statistics (such as differential
equations, linear algebra, matrix, combinatorics, probability, Bayesian statistics, eigen
vectors, Markov models, Fourier analysis).
 Building data analytics models using Python, ML libraries, Jupyter/Anaconda and Knowledge
database query languages like  SQL
 Good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM,
Decision Forests. 
 Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the
fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis
of a lot of predictive performance or algorithm optimization techniques. 
 Deep learning : CNN, neural Network, RNN, tensorflow, pytorch, computervision,
 Large-scale data extraction/mining, data cleansing, diagnostics, preparation for Modeling
 Good applied statistical skills, including knowledge of statistical tests, distributions,
regression, maximum likelihood estimators, Multivariate techniques & predictive modeling
cluster analysis, discriminant analysis, CHAID, logistic & multiple regression analysis
 Experience with Data Visualization Tools like Tableau, Power BI, Qlik Sense that help to
visually encode data
 Excellent Communication Skills – it is incredibly important to describe findings to a technical
and non-technical audience
 Capability for continuous learning and knowledge acquisition.
 Mentor colleagues for growth and success
 Strong Software Engineering Background
 Hands-on experience with data science tools
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xpressbees
Pune, Bengaluru (Bangalore)
6 - 8 yrs
₹15L - ₹25L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Artificial Intelligence (AI)
+6 more
Company Profile
XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.

● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
Read more
EnterpriseMinds

at EnterpriseMinds

2 recruiters
phani kalyan
Posted by phani kalyan
Bengaluru (Bangalore)
3 - 7.5 yrs
₹10L - ₹25L / yr
skill iconMachine Learning (ML)
skill iconData Science
Natural Language Processing (NLP)
Spark
Software deployment
+1 more
Job ID: ZS0701

Hi,

We are hiring for Data Scientist for Bangalore.

Req Skills:

  • NLP 
  • ML programming
  • Spark
  • Model Deployment
  • Experience processing unstructured data and building NLP models
  • Experience with big data tools pyspark
  • Pipeline orchestration using Airflow and model deployment experience is preferred
Read more
Contact Center software that leverages AI to improve custome

Contact Center software that leverages AI to improve custome

Agency job
via Qrata by Rayal Rajan
Bengaluru (Bangalore)
4 - 8 yrs
₹17L - ₹40L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
skill iconAmazon Web Services (AWS)
skill iconPython
+4 more
Role: Machine Learning Engineer

As a machine learning engineer on the team, you will
• Help science and product teams innovate in developing and improving end-to-end
solutions to machine learning-based security/privacy control
• Partner with scientists to brainstorm and create new ways to collect/curate data
• Design and build infrastructure critical to solving problems in privacy-preserving machine
learning
• Help team self-organize and follow machine learning best practice.

Basic Qualifications

• 4+ years of experience contributing to the architecture and design (architecture, design
patterns, reliability and scaling) of new and current systems
• 4+ years of programming experience with at least one modern language such as Java,
C++, or C# including object-oriented design
• 4+ years of professional software development experience
• 4+ years of experience as a mentor, tech lead OR leading an engineering team
• 4+ years of professional software development experience in Big Data and Machine
Learning Fields
• Knowledge of common ML frameworks such as Tensorflow, PyTorch
• Experience with cloud provider Machine Learning tools such as AWS SageMaker
• Programming experience with at least two modern language such as Python, Java, C++,
or C# including object-oriented design
• 3+ years of experience contributing to the architecture and design (architecture, design
patterns, reliability and scaling) of new and current systems
• Experience in python
• BS in Computer Science or equivalent
Read more
Gormalone LLP

at Gormalone LLP

3 recruiters
Dhwani Rambhia
Posted by Dhwani Rambhia
Bengaluru (Bangalore)
2 - 5 yrs
₹5L - ₹20L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
skill iconData Analytics
+18 more

DATA SCIENTIST-MACHINE LEARNING                           

GormalOne LLP. Mumbai IN

 

Job Description

GormalOne is a social impact Agri tech enterprise focused on farmer-centric projects. Our vision is to make farming highly profitable for the smallest farmer, thereby ensuring India's “Nutrition security”. Our mission is driven by the use of advanced technology. Our technology will be highly user-friendly, for the majority of farmers, who are digitally naive. We are looking for people, who are keen to use their skills to transform farmers' lives. You will join a highly energized and competent team that is working on advanced global technologies such as OCR, facial recognition, and AI-led disease prediction amongst others.

 

GormalOne is looking for a machine learning engineer to join. This collaborative yet dynamic, role is suited for candidates who enjoy the challenge of building, testing, and deploying end-to-end ML pipelines and incorporating ML Ops best practices across different technology stacks supporting a variety of use cases. We seek candidates who are curious not only about furthering their own knowledge of ML Ops best practices through hands-on experience but can simultaneously help uplift the knowledge of their colleagues.

 

Location: Bangalore

 

Roles & Responsibilities

  • Individual contributor
  • Developing and maintaining an end-to-end data science project
  • Deploying scalable applications on different platform
  • Ability to analyze and enhance the efficiency of existing products

 

What are we looking for?

  • 3 to 5 Years of experience as a Data Scientist
  • Skilled in Data Analysis, EDA, Model Building, and Analysis.
  • Basic coding skills in Python
  • Decent knowledge of Statistics
  • Creating pipelines for ETL and ML models.
  • Experience in the operationalization of ML models
  • Good exposure to Deep Learning, ANN, DNN, CNN, RNN, and LSTM.
  • Hands-on experience in Keras, PyTorch or Tensorflow

 

 

Basic Qualifications

  • Tech/BE in Computer Science or Information Technology
  • Certification in AI, ML, or Data Science is preferred.
  • Master/Ph.D. in a relevant field is preferred.

 

 

Preferred Requirements

  • Exp in tools and packages like Tensorflow, MLFlow, Airflow
  • Exp in object detection techniques like YOLO
  • Exposure to cloud technologies
  • Operationalization of ML models
  • Good understanding and exposure to MLOps

 

 

Kindly note: Salary shall be commensurate with qualifications and experience

 

 

 

 

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Saarthi.ai

at Saarthi.ai

2 recruiters
Prabhudev S
Posted by Prabhudev S
Bengaluru (Bangalore)
2 - 9 yrs
₹10L - ₹30L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
skill iconPython
skill iconC
+2 more

About the Role:  

As a Speech Engineer you will be working on development of on-device multilingual speech recognition systems. 

  • Apart from ASR you will be working on solving speech focused research problems like speech enhancement, voice analysis and synthesis etc. 
  • You will be responsible for building complete pipeline for speech recognition from data preparation to deployment on edge devices. 
  • Reading, implementing and improving baselines reported in leading research papers will be another key area of your daily life at Saarthi. 

Requirements:  

  • 2-3 year of hands-on experience in speech recognitionbased projects 
  • Proven experience as a Speech engineer or similar role 
  • Should have experience of deployment on edge devices 
  • Candidate should have hands-on experience with open-source tools such as Kaldi, Pytorch-Kaldi and any of the end-to-end ASR tools such as ESPNET or EESEN or DeepSpeech Pytorch
  • Prior proven experience in training and deployment of deep learning models on scale 
  • Strong programming experience in Python,C/C++, etc. 
  • Working experience with Pytorch and Tensorflow
  • Experience contributing to research communities including publications at conferences and/or journals 
  • Strong communication skills 
  • Strong analytical and problem-solving skills
Read more
TartanHQ Solutions Private Limited
Prabhat Shobha
Posted by Prabhat Shobha
Bengaluru (Bangalore)
2 - 4 yrs
₹9L - ₹15L / yr
skill iconMachine Learning (ML)
skill iconData Science
Natural Language Processing (NLP)
Computer Vision
skill iconPython
+4 more

Key deliverables for the Data Science Engineer would be to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be on applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.

What will you do?

  • You will be building and deploying ML models to solve specific business problems related to NLP, computer vision, and fraud detection.
  • You will be constantly assessing and improving the model using techniques like Transfer learning
  • You will identify valuable data sources and automate collection processes along with undertaking pre-processing of structured and unstructured data
  • You will own the complete ML pipeline - data gathering/labeling, cleaning, storage, modeling, training/testing, and deployment.
  • Assessing the effectiveness and accuracy of new data sources and data gathering techniques.
  • Building predictive models and machine-learning algorithms to apply to data sets.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  •  
  • Presenting information using data visualization techniques and proposing solutions and strategies to business challenges


We would love to hear from you if :

  • You have 2+ years of experience as a software engineer at a SaaS or technology company
  • Demonstrable hands-on programming experience with Python/R Data Science Stack
  • Ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python
  • Familiarity with Big Data Platforms (Databricks, Hadoop, Hive), AWS Services (AWS, Sagemaker, IAM, S3, Lambda Functions, Redshift, Elasticsearch)
  • Experience in Probability and Statistics, ability to use ideas of Data Distributions, Hypothesis Testing and other Statistical Tests.
  • Demonstrable competency in Data Visualisation using the Python/R Data Science Stack.
  • Preferable Experience Experienced in web crawling and data scraping
  • Strong experience in NLP. Worked on libraries such as NLTK, Spacy, Pattern, Gensim etc.
  • Experience with text mining, pattern matching and fuzzy matching

Why Tartan?
  • Brand new Macbook
  • Stock Options
  • Health Insurance
  • Unlimited Sick Leaves
  • Passion Fund (Invest in yourself or your passion project)
  • Wind Down
Read more
Avanze Technologies

at Avanze Technologies

2 recruiters
Rekha G
Posted by Rekha G
Bengaluru (Bangalore)
4 - 6 yrs
₹4L - ₹14L / yr
skill iconPython
skill iconMachine Learning (ML)
Artificial Intelligence (AI)
Natural Language Processing (NLP)
Image Processing
+6 more

Job Description –Sr. Python Developer


Job Brief

The job requires Python experience as well as expertise with AI/ML. This Developer is expected to have strong technical skills, to work closely with the other team members in development and managing key projects. Ability to work on a small team with minimal supervision, Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality

Job Requirement

  • 4 plus Years of Python relevant experience 
  • Good at communication skills and Email etiquette
  • Quick learner and should be a team player
  • Experience in working on python framework
  • Experience in Developing With Python & MySQL on LAMP/LEMP Stack
  • Experience in Developing an MVC Application with Python
  • Experience with Threading, Multithreading and pipelines
  • Experience in Creating RESTful API’s With Python in JSON, XMLs
  • Experience in Designing Relational Database using MySQL And Writing Raw SQL Queries
  • Experience with GitHub Version Control
  • Ability of Write Custom Python Code
  • Excellent working knowledge of AI/ML based application
  • Experience in OpenCV/TensorFlow/ SimpleCV/PyTorch
  • Experience working in agile software development methodology
  • Understanding of end-to-end ML project lifecycle
  • Understanding of cross platform OS systems like Windows, Linux or UNIX with hands-on working experience

Responsibilities

  • Participate in the entire development lifecycle, from planning through implementation, documentation, testing, and deployment, all the way to monitoring.
  • Produce high quality, maintainable code with great test coverage
  • Integration of user-facing elements developed by front-end developers
  • Build efficient, testable, and reusable Python/AI/ML modules
  • Solve complex performance problems and architectural challenges
  • Help with designing and architecting the product
  • Design and develop the web application modules or APIs
  • Troubleshoot and debug applications.
Read more
Quizizz

at Quizizz

1 video
4 recruiters
Sangram Matkar
Posted by Sangram Matkar
Bengaluru (Bangalore)
2 - 7 yrs
Best in industry
SQL
MySQL
skill iconPython
Tableau
PowerBI
+4 more

About Quizizz
Quizizz is one of the fastest-growing EdTech platforms in the world. Our team is on a mission to motivate every student and our learning platform is used by more than 75 million people per month in over 125 countries, including 80% of U.S. schools.

We have phenomenal investors, we’re profitable, and we’re committed to growing and improving every day. If you’re excited about international SaaS and want to build towards a mission that you can be proud of then Quizizz might be a good fit for you.

We currently have offices in India and the U.S. with incredible team members around the world and we hope you’ll join us.

 

Role

We are looking for an experienced Product Analyst. The role offers an exciting opportunity to shape the future of the product, significantly. The team is responsible for supporting all decisions being taken by other teams, to improve growth, engagement and revenue of the platform. Furthermore, the team sets up and maintains internal tools, apps, dashboards, processes and functions as arbiters of information within the organization.


The variety of tasks is immense and will give you the chance to play to your strengths. Tasks could include; improving search and recommendations, data mining, identifying potential customers, ad-hoc analyses, creating APIs for internal consumption et cetera.

Some of the challenges you will face include:

  • Working cross-functionally with design, engineering, sales and marketing teams to aid in decision making.
  • Analyze and conclude experiments of new product features.
  • Creating, maintaining, and modifying internal dashboards, apps and reports being used, as part of the larger analytics function at Quizizz.
  • Deep diving into data to extract insights that could help explain a certain phenomenon.
  • Organizing the analytics warehouse, as and when new data is added.

Requirements:

  • At least 2 years of industry experience, providing solutions to business problems in a cross-functional team.
  • Versatility to communicate clearly with both technical and non-technical audiences.
  • An SQL expert, and strong programming skills. (Python preferred)
  • Mathematical thinking.
  • Attention to Detail.

 

Good to have:

  • Experience with Jupyter (/iPython) notebooks.
  • Experience using a data visualization tool such as Tableau, Google Data Studio, Qlikview, Power BI, RShiny.
  • Ability to create simple data apps/APIs. (we use flask or node.js)
  • Knowledge of Natural Language Processing techniques.
  • Data analytical and data engineering experience.

Benefits:

At Quizizz, we have built a world-class team of talented individuals. While we all care deeply about our work, we also ensure that we maintain a healthy work-life balance. Our policies are designed to ensure the well-being and comfort of our employees. Some of the benefits we offer include:

    • Healthy work-life balance. Put in your 8 hours, and enjoy the rest of your day.
    • Flexible leave policy. Take time off when you need it.
    • Comprehensive health coverage of Rs. 6 lakhs, covering the employee and their parents, spouse and children. Pre-existing conditions are covered from day 1, and also benefits like free doctor consultations and more.
    • Relocation support including travel and accommodation, and we'll also pay for a broker to find your home in Bangalore!
    • Rs. 20,000 annual health and wellness allowance.
    • Professional development support. We will reimburse you for relevant courses and books that you need to become a better professional.
    • Delicious Meals including breakfast and lunch served at office, and a fully-stocked pantry for all your snacking needs.

 

Read more
Top 3 Fintech Startup

Top 3 Fintech Startup

Agency job
via Jobdost by Sathish Kumar
Bengaluru (Bangalore)
4 - 7 yrs
₹11L - ₹17L / yr
skill iconMachine Learning (ML)
skill iconData Science
Natural Language Processing (NLP)
Computer Vision
skill iconPython
+6 more
Responsible to lead a team of analysts to build and deploy predictive models to infuse core business functions with deep analytical insights. The Senior Data Scientist will also work
closely with the Kinara management team to investigate strategically important business
questions.

Lead a team through the entire analytical and machine learning model life cycle:

 Define the problem statement
 Build and clean datasets
 Exploratory data analysis
 Feature engineering
 Apply ML algorithms and assess the performance
 Code for deployment
 Code testing and troubleshooting
 Communicate Analysis to Stakeholders
 Manage Data Analysts and Data Scientists
Read more
Fintech Company

Fintech Company

Agency job
via Jobdost by Sathish Kumar
Bengaluru (Bangalore)
1 - 3 yrs
₹9L - ₹12L / yr
skill iconPython
SQL
skill iconMachine Learning (ML)
skill iconData Science
Natural Language Processing (NLP)
+3 more
Job Responsibilities:

1+ years of proven experience in ML/AI with Python

Work with the manager through the entire analytical and machine learning model life cycle:

⮚ Define the problem statement

⮚ Build and clean datasets

⮚ Exploratory data analysis

⮚ Feature engineering

⮚ Apply ML algorithms and assess the performance

⮚ Codify for deployment

⮚ Test and troubleshoot the code

⮚ Communicate analysis to stakeholders

Technical Skills

⮚ Proven experience in usage of Python and SQL

⮚ Excellent in programming and statistics

⮚ Working knowledge of tools and utilities - AWS, DevOps with Git, Selenium, Postman, Airflow, PySpark

Read more
Global Banking Client

Global Banking Client

Agency job
Bengaluru (Bangalore)
9 - 12 yrs
₹28L - ₹32L / yr
skill iconMachine Learning (ML)
skill iconData Science
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

Work Location - Bangalore

 

The Data Analytics Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

Responsibilities:

  • Build and enhance the software stack for modelling and data analytics
  • Incorporate relevant data related algorithms in the products to solve business problems and improve them over time
  • Automate repetitive data modelling and analytics tasks
  • Keep up to date with available relevant technologies, to solve business problems
  • Become a subject matter expert and closely work with analytics users to understand their need & provide recommendations/solutions
  • Help define/share best practices for the business users and  enforce/monitor that best practices are being incorporated for better efficiency (speed to market & system performance)
  • Share daily/weekly  progress made by the team
  • Work with senior stakeholders & drive the discussions independently
  • Mentor and lead a team of software developers on analytics related product development practices


Qualifications:

  • 10-13 years of data engineering experience.
  • Experience in working on machine-learning model deployment/scoring, model lifecycle management and model performance measurement.
  • In-depth understanding of statistics and probability distributions, with experience of applying it in big-data software products for solving business problems
  • Hands-on programming experience with big-data and analytics related product development using Python, Spark and Kafka to provide solutions for business needs.
  • Intuitive with good interpersonal-skills, time-management and task-prioritization
  • Ability to lead a technical team of software developers and mentor them on good software development practices.
  • Ability to quickly grasp the business problem and nuances when put forth.
  • Ability to quickly put together an execution plan and see it through till closure.
  • Strong communication, presentation and influencing skills.


Education:

  • Bachelor’s/University degree or equivalent experience
  • Data Science or Analytics specialization preferred

 

 

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Fintech Company

Fintech Company

Agency job
via Jobdost by Sathish Kumar
Bengaluru (Bangalore)
6 - 8 yrs
₹12L - ₹20L / yr
skill iconMachine Learning (ML)
Artificial Intelligence (AI)
skill iconPython
SQL
DevOps
+9 more

Purpose of Job:
Responsible to lead a team of analysts to build and deploy predictive models to infuse core
business functions with deep analytical insights. The Senior Data Scientist will also work
closely with the Kinara management team to investigate strategically important business questions.


Job Responsibilities:

Lead a team through the entire analytical and machine learning model life cycle:
 Define the problem statement
 Build and clean datasets
 Exploratory data analysis
 Feature engineering
 Apply ML algorithms and assess the performance
 Code for deployment
 Code testing and troubleshooting
 Communicate Analysis to Stakeholders
 Manage Data Analysts and Data Scientists


Qualifications:
 Education: MS/MTech/Btech graduates or equivalent with a focus on data science and
quantitative fields (CS, Engineering, Mathematics, Economics)


 Work Experience: 5+ years in a professional role with 3+ years in ML/AI
Other Requirements: ⮚ Domain knowledge in Financial Services is a big plus


Skills & Competencies
Technical Skills
⮚ Aptitude in Math and Stats
⮚ Proven experience in the use of Python, SQL, DevOps
⮚ Excellent in programming (Python), stats tools, and SQL
⮚ Working knowledge of tools and utilities - AWS, Git, Selenium, Postman,Prefect, Airflow, PySpark


Soft Skills
⮚ Deep Curiosity and Humility
⮚ Strong communications verbal and written

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Curl Tech

Curl Tech

Agency job
via wrackle by Naveen Taalanki
Bengaluru (Bangalore)
3 - 10 yrs
₹15L - ₹25L / yr
skill iconDeep Learning
skill iconMachine Learning (ML)
skill iconData Science
Natural Language Processing (NLP)
Computer Vision
+1 more

Company Name: Curl Tech

Location: Bangalore

Website: www.curl.tech

Company Profile: Curl Tech is a deep-tech firm, based out of Bengaluru, India. Curl works on developing Products & Solutions leveraging emerging technologies such as Machine Learning, Blockchain (DLT) & IoT. We work on domains such as Commodity Trading, Banking & Financial Services, Healthcare, Logistics & Retail.

Curl has been founded by technology enthusiasts with rich industry experience. Products and solutions that have been developed at Curl, have gone on to have considerable success and have in turn become separate companies (focused on that product / solution).

If you are looking for a job, that would challenge you and desire to work with an organization that disrupts entire value chain; Curl is the right one for you!

Designation: Data Scientist or Junior Data Scientist (according to experience)

Job Description:

Good with Machine Learning and Deep learning, good with programming and maths.

Details: The candidate will be working on many image analytics/ numerical data analytics projects. The work involves, data collection, building the machine learning models, deployment, client interaction and publishing academic papers.

Responsibilities:

  • The candidate will be working on many image analytics/numerical data projects.

  • Candidate will be building various machine learning models depending upon the requirements.

  • Candidate would be responsible for deployment of the machine learning models.

  • Candidate would be the face of the company in front of the clients and will have regular client interactions to understand that client requirements.

    What we are looking for candidates with:

  • Basic Understanding of Statistics, Time Series, Machine Learning, Deep Learning, and their fundamentals and mathematical underpinnings.

  • Proven code proficiency in Python,C/C++ or any other AI language of choice.

  • Strong algorithmic thinking, creative problem solving and the ability to take ownership and do independent

    research.

  • Understanding how things work internally in ML and DL models is a must.

  • Understanding of the fundamentals of Computer Vision and Image Processing techniques would be a plus.

  • Expertise in OpenCV, ML/Neural networks technologies and frameworks such as PyTorch, Tensorflow would be a

    plus.

  • Educational background in any quantitative field (Computer Science / Mathematics / Computational Sciences and related disciplines) will be given preference.

Education: BE/ BTech/ B.Sc.(Physics or Mathematics)/Masters in Mathematics, Physics or related branches.

Read more
Conversational AI- Product Development company

Conversational AI- Product Development company

Agency job
via The Hub by Sridevi Viswanathan
Bengaluru (Bangalore)
5 - 10 yrs
₹12L - ₹15L / yr
Artificial Intelligence (AI)
Chatbot
skill iconMachine Learning (ML)
skill iconData Science
Natural Language Processing (NLP)
+2 more

Chatbot Developer

We are a Conversational AI- Product Development company which is located in the USA, Bangalore.

 

We are looking for a Senior Chatbot /Javascript Developer to join the Avaamo PSG(delivery) team.

 

Responsibilities:

  • Independent team member for analyzing requirements, designing, coding, and implementing  Conversation AI products.
  • Its a  product expert work closely with IT Managers and Business Groups to gather requirements and translate those into the required technical solution.
  • Drive solution implementation using the Conversational design approach.
  • Develop, deploy and maintain customized extensions to the Avaamo platform-specific to customer requirements.
  • Conduct training and technical guidance sessions for partner and customer development teams.
  • Evaluating reported defects and the correction of prioritized defects.
  • Travel onsite to customer locations for close support.
  • Document how to's and implement best practices for Avaamo product solutions.

 

Requirements:

  • Strong programming experience in javascript, HTML/CSS.
  • Experience of creating and consuming REST APIs and SOAP services.
  • Strong knowledge and awareness of Web Technologies and current web trends.
  • Working knowledge of Security in Web applications and services.
  • experience in using the NodeJS framework with good understanding of the underlying architecture.
  • Experience of deploying web applications on Linux servers in production environment.
  • Excellent communication skills.

 

Good to haves:

  • Full stack experience UI and UX design experience or insights
  • Working knowledge of AI, ML and NLP.
  • Experience of enterprise systems integration like MS Dynamics CRM, Salesforce, ServiceNow, MS Active Directory etc.
  • Experience of building Single Sign On in web/mobile applications.
  • Ability to learn latest technologies and handle small engineering teams.
Read more
Nexopay

at Nexopay

2 recruiters
Meenal Sharma
Posted by Meenal Sharma
Bengaluru (Bangalore)
2 - 4 yrs
₹3L - ₹13L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

About us: Nexopay helps transforming digital payments and enabling instant financing for parents, across schools and colleges world-wide.

Responsibilities:

  • Work with stakeholders throughout the organisation and across entities to identify opportunities for leveraging internal and external data to drive business impact
  • Mine and analyze data to improve and optimise performance, capture meaningful insights and turn them into business advantages
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Develop custom data models and algorithms to apply to data sets
  • Use predictive modeling to predict outcomes and identify key drivers
  • Coordinate with different functional teams to implement models and monitor outcomes
  • Develop processes and tools to monitor and analyze model performance and data accuracy

 

Requirements:

  • Experience in solving business problem using descriptive analytics, statistical modelling / machine learning
  • 2+ years of strong working knowledge of SQL language
  • Experience with visualization tools e. g., Tableau, Power BI
  • Working knowledge on handling analytical projects end to end using industry standard tools (e. g., R, Python)
  • Strong presentation and communication skills
  • Experience in education sector is a plus
  • Fluency in English
Read more
Mirafra Technologies

at Mirafra Technologies

4 recruiters
shanmugapriya selvam
Posted by shanmugapriya selvam
Bengaluru (Bangalore)
3 - 5 yrs
₹10L - ₹15L / yr
skill iconDeep Learning
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

Machine Learning & Deep Learning – Strong

Experienced in TensorFlow, PyTorch, ONNX, Object Detection,  Pretrained Models like YOLO, SSD, Faster RCNN, etc…

Python – Strong

NumPy, Pandas, OpenCV

 

Problem Solving  - strong

 

C++ - average

        It will be good if candidate have working experience in C++ in any domain

Note :: Looking for Immediate to 30 days of Notice Period

Read more
Sizzle

at Sizzle

1 recruiter
Vijay Koduri
Posted by Vijay Koduri
Bengaluru (Bangalore)
2 - 10 yrs
₹6L - ₹20L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Audio
+6 more

Sizzle is an exciting new startup that’s changing the world of gaming.  At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar engineer that is well versed with AI and audio technologies around audio detection, speech-to-text, interpretation, and sentiment analysis.  


You will be responsible for:

Developing audio algorithms to detect key moments within popular online games, such as:

Streamer speaking, shouting, etc.

Gunfire, explosions, and other in-game audio events

Speech-to-text and sentiment analysis of the streamer’s narration

Leveraging baseline technologies such as TensorFlow and others -- and building models on top of them

Building neural network architectures for audio analysis as it pertains to popular games

Specifying exact requirements for training data sets, and working with analysts to create the data sets

Training final models, including techniques such as transfer learning, data augmentation, etc. to optimize models for use in a production environment

Working with back-end engineers to get all of the detection algorithms into production, to automate the highlight creation


You should have the following qualities:

Solid understanding of AI frameworks and algorithms, especially pertaining to audio analysis, speech-to-text, sentiment analysis, and natural language processing

Experience using Python, TensorFlow and other AI tools

Demonstrated understanding of various algorithms for audio analysis, such as CNNs, LSTM for natural language processing, and others

Nice to have: some familiarity with AI-based audio analysis including sentiment analysis

Familiarity with AWS environments

Excited about working in a fast-changing startup environment

Willingness to learn rapidly on the job, try different things, and deliver results

Ideally a gamer or someone interested in watching gaming content online


Skills:

Machine Learning, Audio Analysis, Sentiment Analysis, Speech-To-Text, Natural Language Processing, Neural Networks, TensorFlow, OpenCV, AWS, Python


Work Experience:  2 years to 10 years


About Sizzle

Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Presently, there are over 700 million fans around the world that watch gaming videos on Twitch and YouTube. Sizzle is creating a new highlights experience for these fans, so they can catch up on their favorite streamers and esports leagues. Sizzle is available at http://www.sizzle.gg">www.sizzle.gg. 

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Sizzle

at Sizzle

1 recruiter
Vijay Koduri
Posted by Vijay Koduri
Bengaluru (Bangalore)
0 - 3 yrs
₹1.5L - ₹1.8L / yr
skill iconData Analytics
Data Annotation
Natural Language Processing (NLP)
Computer Vision
data annotation

Sizzle is an exciting new startup that’s changing the world of gaming.  At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. 


For this role, we're looking for someone that ideally loves to watch video gaming content on Twitch and YouTube. Specifically, you will help generate training data for all the AI we are building. This will include gathering screenshots, clips and other data from gaming videos on Twitch and YouTube.  You will then be responsible for labeling and annotating them. You will work very closely with our AI engineers.


You will:

  • Gather training data as specified by the management and engineering team
  • Label and annotate all the training data
  • Ensure all data is prepped and ready to feed into the AI models
  • Revise the training data as specified by the engineering team
  • Test the output of the AI models and update training data needs

You should have the following qualities:

  • Willingness to work hard and hit deadlines
  • Work well with people
  • Be able to work remotely (if not in Bangalore)
  • Interested in learning about AI and computer vision
  • Willingness to learn rapidly on the job
  • Ideally a gamer or someone interested in watching gaming content online

Skills:

Data labeling, annotation, AI, computer vision, gaming


Work Experience:  0 years to 3 years


About Sizzle

Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Presently, there are over 700 million fans around the world that watch gaming videos on Twitch and YouTube. Sizzle is creating a new highlights experience for these fans, so they can catch up on their favorite streamers and esports leagues. Sizzle is available at http://www.sizzle.gg">www.sizzle.gg.
Read more
Understands the Customer Service. (CO1)

Understands the Customer Service. (CO1)

Agency job
via Multi Recruit by Paramesh P
Bengaluru (Bangalore)
2 - 6 yrs
₹7L - ₹9L / yr
Artificial Intelligence (AI)
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
skill iconDeep Learning
skill iconPython

Should be highly Technical and hands-on experience in Artificial Intelligence and Machine learning and Python. Managing the successful delivery of projects by efficient planning and coordination.

 

KEY RESPONSIBILITIES OF THE POSITION :

  • Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same in production.
  • Solid understanding and experience of deep learning architectures and algorithms
  • Working experience with AWS, most importantly AWS SageMaker, Aurora or MongoDB, Analytics and reporting.
  • Experience solving problems in the industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders, etc.
  • Should have experience of 2-3 production implementations of machine learning projects.
  • Knowledge of open-source libraries such as Keras, Tensor Flow, Pytorch
  • Work with business analysts/consultants and other necessary teams to create a strong solution
  • Should have in-depth understanding and experience of Data Science and Machine Learning projects using Python, R, etc. Skills in Java/C are a plus
  • Should developing solutions using python in AI/ML projects
  • Should be able to train and build a team of technical developers
  • Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
  • Desired to have knowledge on any of the cloud solutions such as Azure or AWS
  • Desired to have knowledge on any of container technology such as Docker
  • Should be able to build strong relationships with project stakeholders


Keywords:

  • Python
  • Artificial Intelligence
  • Machine Learning
  • AWS
  • Django
  • NLP
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Streamoid Technologies Pvt Ltd
Agency job
via HyreSpree by HyreSpree Team
Bengaluru (Bangalore)
4 - 6 yrs
₹4L - ₹20L / yr
Natural Language Processing (NLP)
PyTorch
skill iconPython
skill iconJava
Solr
+1 more
Skill Set:
  • 4+ years of experience Solid understanding of Python, Java and general software development skills (source code management, debugging, testing, deployment etc.).
  • Experience in working with Solr and ElasticSearch Experience with NLP technologies & the handling of unstructured text Detailed understanding of text pre-processing and normalisation techniques such as tokenisation, lemmatisation, stemming, POS tagging etc.
  • Prior experience in implementation of traditional ML solutions - classification, regression or clustering problem Expertise in text-analytics - Sentiment Analysis, Entity Extraction, Language modelling - and associated sequence learning models ( RNN, LSTM, GRU).
  • Comfortable working with deep-learning libraries (eg. PyTorch)
  • Candidate can even be a fresher with 1 or 2 years of experience IIIT, IIIT, Bits Pilani, top 5 local colleges are preferred colleges and universities.
  • A Masters candidate in machine learning.
  • Can source candidates from Mu Sigma and Manthan.
Read more
Statusneo

at Statusneo

6 recruiters
Yashika Sharma
Posted by Yashika Sharma
Hyderabad, Bengaluru (Bangalore)
2 - 4 yrs
₹2L - ₹4L / yr
skill iconData Science
Computer Vision
Natural Language Processing (NLP)
skill iconMachine Learning (ML)
skill iconPython
+2 more

Responsibilities Description:

Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.

 

Experience Requirements:

BS/MA/MS/PhD in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 2-4 years of experience in predictive analytics and advanced expertise with software such as Python, or any combination of education and experience which would provide an equivalent background. Experience in the healthcare sector. Experience in Deep Learning strongly preferred.

 

Required Technical Skill Set:

  • Full cycle of building machine learning solutions,

o   Understanding of wide range of algorithms and their corresponding problems to solve

o   Data preparation and analysis

o   Model training and validation

o   Model application to the problem

  • Experience using the full open source programming tools and utilities
  • Experience in working in end-to-end data science project implementation.
  • 2+ years of experience with development and deployment of Machine Learning applications
  • 2+ years of experience with NLP approaches in a production setting
  • Experience in building models using bagging and boosting algorithms
  • Exposure/experience in building Deep Learning models for NLP/Computer Vision use cases preferred
  • Ability to write efficient code with good understanding of core Data Structures/algorithms is critical
  • Strong python skills following software engineering best practices
  • Experience in using code versioning tools like GIT, bit bucket
  • Experience in working in Agile projects
  • Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark
  • Experience managing big data with efficient query program good to have
  • Good to have experience in training ML models in tools like Sage Maker, Kubeflow etc.
  • Good to have experience in frameworks to depict interpretability of models using libraries like Lime, Shap etc.
  • Experience with Health care sector is preferred
  • MS/M.Tech or PhD is a plus
Read more
A stealth mode realty tech start-up

A stealth mode realty tech start-up

Agency job
via Qrata by Prajakta Kulkarni
Bengaluru (Bangalore)
1 - 5 yrs
₹10L - ₹32L / yr
skill iconData Science
Natural Language Processing (NLP)
skill iconR Programming
skill iconPython
SQL
+2 more
A good understanding of the fundamentals of data science/algorithms or software
engineering
2. Preferably should have done some project or internship related to the field
3. Knowledge of SQL is a plus
4. A deep desire to learn new things and be a part of a vibrant start-up.
5. You will have a lot of freehand and this comes with immense responsibility - so it
is expected that you will be willing to master new things that come along!

Job Description:
1. Design and build a pipeline to train models for NLP problems like Classification,
NER
2. Develop APIs that showcase our models' capabilities and enable third-party
integrations
3. Work across a microservices architecture that processes thousands of
documents per day.
Read more
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